Top Artificial Intelligence Jobs

Design and build a scalable, responsive UI; lead frontend architecture and optimization; apply UI/UX best practices; integrate with backend APIs; ensure high web performance and deploy user-facing features.

Operate and monitor robotic AI model tests in a laboratory, reset test scenes, record trial outcomes, transfer models and logs, and maintain accurate documentation. Set up robots, inspect equipment, perform basic calibration, respond to safety issues using emergency stops, and collect training data through manual teleoperation. The role requires careful adherence to procedures, clear communication, reliable independent work, and full-time on-site availability in San Francisco.

Lead and build Credify's Kampala branch and regional sales function: drive revenue, recruit and coach sales/support staff, manage branch operations and customer escalations, implement CRM and analytics to monitor performance, and collaborate with HQ to scale processes and deliver operational excellence.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Own the end-to-end development of Navi’s ruggedized cockpit edge-compute device, including electrical architecture, component selection, PCB design, enclosure integration, embedded firmware, validation, certification, fleet deployment, and cloud telemetry. Build systems for high-bandwidth real-time audio and flight-data streaming in demanding aviation environments, while collaborating with software and ML teams to support automated debriefing capabilities.

Conduct outbound calls and executive discovery with prospects sourced by AI outbound tools. Qualify opportunities, advance pipeline, and provide qualified leads with context to account executives. Prioritize accounts using sales intelligence, maintain accurate Salesforce records, collaborate with marketing and GTM leadership on messaging, and share call insights. The role requires strong phone skills, pipeline generation experience, executive communication, coachability, and comfort selling complex AI or SaaS products in an early-stage environment.

Identify and prospect high-value AI and enterprise accounts through email, phone, LinkedIn, and events. Research prospects, personalize messaging, qualify opportunities, run initial conversations, and book meetings for Account Executives. Partner on account mapping and multi-threading, use AI tools to improve outreach, and stay informed on AI inference, open-source models, and GPU trends.

Build and ship backend services, APIs, and infrastructure for an AI healthcare platform. Develop LLM and Generative AI workflows, transform prototypes into secure production systems, improve observability and testing, and deploy services using Docker and AWS. Collaborate with senior engineers through code reviews and design discussions while contributing to reliable software that supports home health clinicians and patient care.

Own end-to-end product design for an AI-native clinical research platform. Responsibilities include simplifying complex research workflows, conducting user research and usability testing, prototyping, iterating, and partnering with engineering through delivery. The role also requires aligning designs with regulatory, privacy, IRB, and compliance requirements while creating intuitive experiences for research participants and clinical staff.

Own accounts payable operations, expense report auditing, month-end close, invoicing, revenue recognition, reconciliations, subsidiary accounting, ERP maintenance, financial audits, and corporate tax filing. The role requires a CPA, accounting experience in audit and technology environments, and strong NetSuite and Expensify skills.